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The proliferation of big data has forced us to rethink not just data processing frameworks, but implementations of machine learning algorithms as well.
We believe that such characteristics do not pose significant problems for the implementations of machine learning algorithms due to their iterative nature.
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Contrary to the traditional way of implementing field control software, we suggest the modelling and implementation of machine capabilities as basic operations.
The objective of the paper is to study the implementation of machine learning based controller to control non-linear systems.
This paper presents the framework based on Axiomatic Design for the systematic design and implementation of machine control systems.
Companies like Microsoft, Facebook and Google have already declared their intentions to build up infrastructure to support the implementation of machine learning in as many products and services as possible.
The objective of this special issue has been to bring together high-quality state-of-the-art research contributions as well as review articles that address recent developments in the hardware implementation of machine vision systems.
The UFO web server has been built around an efficient implementation of machine learning techniques for protein sequence classification which have been described in [ 10- 12].
This section shall be considered looking at model implementation of machines' production activities and maintenance of machines based on machine condition monitoring.
Due to this, there is a need for distributed computational platforms which allow parallelized implementations of advanced machine learning algorithms.
Most implementations of Neural Machine Translation (NMT) models employ a padding strategy when processing a mini-batch to make all sentences in a mini-batch have the same length.
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